Postdoctoral Position Computational Cancer Biology
The Chikina Lab in Department of Computational and Systems Biology (CSB) in the School of Medicine at the University of Pittsburgh in collaboration with Dr. Zarour (cancer immunology, UPMC Hillman Cancer Center) is seeking self-motivated individual with strong background in computational biology to study cancer immunogenomics in the context of novel clinical trials for cancer patients.
The main goal of Dr. Zarour’s laboratory is to explore the biological mechanisms of response or resistance to novel immunotherapies of cancers from the laboratory into the clinic. The candidate will develop computational methods to integrate patient clinical and molecular data (including single cell RNAseq, exome and epigenetic sequencing) for a better understanding of the mechanisms supporting response or resistance to cancer immunotherapies.
The candidate will work in close collaboration with the investigators in the laboratory with expertise in cellular and molecular immunology. The candidate will have the opportunity to contribute to laboratory experiments, including NGS.
- Ph.D. in computational biology/bioinformatics/statistics/computer science or related discipline.
- Excellent oral and written communication skills.
- Experiences in one or more of the following fields preferred, but not required: cancer biology, genetics, epigenetics, evolutionary biology.
Pittsburgh is a vibrant but still very affordable city which is undergoing a major renaissance with a younger-shifting demographic driven by biomedical and tech ventures( Google, Uber, Amazon, and Facebook all have offices here). You can read more about life in Pittsburgh here:
Interested candidates are encouraged to send their application including a brief cover letter, curriculum vitae and contact information of at least three references to: email@example.com. We offer competitive salaries and benefits commensurate with experience.
Postdoctoral Position in Computational Molecular Evolution
The Chikina and Clark Labs in the Department of Computational and Systems Biology (CSB) in the School of Medicine at the University of Pittsburgh are seeking a postdoctoral researcher with a strong computational background to develop phylogenetic methods for identifying genomic regions driving convergent phenotypes. Ideal candidates should have some knowledge of molecular evolution and strong programming skills including C/C++. Candidates will have an opportunity to develop translational applications through our ongoing collaborations with physicians and to procure new genomic data through our wet lab and collaborators.
Our work in convergent evolution has a strong publication record in high-impact journals:
-Ancient convergent losses of Paraoxonase 1 yield potential risks for modern marine mammals. Science (in press)
-Subterranean mammals show convergent regression in ocular genes and enhancers, along with adaptation to tunneling. eLife. 2017. https://elifesciences.org/articles/25884
-Hundreds of Genes Experienced Convergent Shifts in Selective Pressure in Marine Mammals. MBE. 2016. https://academic.oup.com/mbe/article/33/9/2182/2579331
-Evolutionary Signatures amongst Disease Genes Permit Novel Methods for Gene Prioritization and Construction of Informative Gene-Based Networks. PLOS Genetics. 2015. http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1004967
Our department has excellent computational resources and a close relationship with Computational Biology at CMU through our joint graduate program and seminars. We also actively participate in the highly collaborative and rapidly expanding evolutionary research community in Pittsburgh through initiatives such as the Molecular Evolution Lab Discussion group, the Center for Evolutionary Biology and Medicine, and the Three Rivers Evolution Event. The University of Pittsburgh School of Medicine is an excellent research environment that is ranked #5 in NIH funding.
Pittsburgh is a vibrant but still affordable city which is undergoing a major renaissance with a younger-shifting demographic driven by biomedical and tech ventures (Google, Uber, Amazon, and Facebook all have offices here). You can read more about life in Pittsburgh here:
Please send your CV and contacts for three references to: firstname.lastname@example.org. We offer competitive salaries and benefits commensurate with experience.